IPM_SampleV1.1

最优控制是现代控制理论的核心，它研究的主要问题是：在满足一定约束条件下，寻求最优控制策略，使得性能指标取极大值或极小值(The optimal control is the core of modern control theory it is the main problem is: conditions meet certain constraints, finding the optimal control strategy, and performance to take the maximum or minimum value)

projected BFGS with Armijo rule, simple linesearch

quinto esempi vari per c++ (schemi base)

GPS卫星导航接收机的matlab工具箱，包括卫星位置计算、用户位置计算以及坐标转换等功能(GPS-matlab toolbox)

说明：  龙哥的用MATLAB解决蚁群算法 3段解决蚁群算法蚁群算法(Longge the ant colony algorithm using MATLAB to solve 3)

This has minesweeper code

Multi-User Diversity vs. Accurate Channel State Information in MIMO Downlink Channels Niranjay Ravindran and Nihar Jindal University of Minnesota, Minneapolis, MN 55455

说明：  这是利用蚁群算法求解旅行商问题的matlab代码，对于求解其他最短路径问题，可以通过修改中间程序来实现。(This is the matlab code for solving traveling salesman problem using ant colony algorithm. For solving other shortest path problems, it can be achieved by modifying the intermediate program.)

绘制人脸，通过几个圆组合出人脸、人眼等部位，然后构造动画(Draw a face to face, the human eye and other parts by several round combination, and then construct the animation)

针对基于小波变换的红外图像增强方法视觉效果不够理想的缺点, 提出了一种基于平稳小波变换和Retinex 的红外图像增强方法, 利用Retinex 增强算法增强图像的视觉效果, 并改善其亮度均匀性。首先, 对红外图像经平稳小波变换后的最大尺度低频子带图像进行多尺度Retine x 增强 然后, 利用贝叶斯萎缩阈值法对高频子带图像进行阈值去噪, 并根据低频子带图像的局部对比度和模糊规则计算高频子带的增益系数, 从而得到增强后的高频子带图像 最后, 由低频子带图像和高频子带图像重构得到增强后的图像。针对大量图像进行了实验和增强效果的定性与定量评价, 并与双向直方图均衡法、二代小波变换法、Curvelet 变换法和多尺度Retinex法作了比较。结果表明, 所提出的方法增强了图像细节, 抑制了噪声, 并明显改善了图像的整体视觉效果。(As infrared image enhancement method based on wavelet transformation has the problem of unperfect visual effect , and Retinex enhancement algorithm can enhance visual effect of the image by improving brightness uniformity , amethod based on stationary wavelet transformation and Retinexis proposed.Firstly , the infrared image is decomposed into high-frequency detail and low-frequency approximation components at various resolutions, and the low frequency subband image of the largest scale is enhanced by multiscale Retinex algorithm.Then, the highfrequency subband images are denoised by Bayesian shrinkage method, and the gain coefficients of high-frequency subbands are available by calculating the local contrast of the enhanced low-frequency subband based on fuzzy rules to get the enhanced high-frequency subband images .Finally, the enhanced image is reconstructed by the low-frequency subband and high-frequency subbands .Experiments with qualitative and quantitative uation are carried ou)